![]() Updated 5/17/2021 |
DLP Validation & Testing Your public IP address is: 3.235.176.80; IP info : Session Info |
SSL is: off ; more info |
Detection Methods
When to use them and what they will do for you
-Basic pattern matching will get you %20-%40 accuracy out of the box. Refinement to business practices and destination awareness will bring that accuracy up to the 80% mark.
-Pattern matching with lexical (word relation), statistical analysis (likelihood measurement), advanced positive and negative dictionaries, and data validation (ex. luhn check for credit cards, US Social Security number checked against the Social Security Administrations list of valid SS#'s) will get you %40-%60 OOB %80 once refined *Look for a product with out of the box policies around Federal and Industry regulations. These policies should cover things like multi language support including Chinese double-byte character recognition
Blended Policy Approach to Data Security: As you model your business and define how data is used, make it a point to use at least 2 policy levels;
By context awareness or destination awareness means the ability to look at the destination of your data and make some really easy decisions. Botnets and keyloggers are a great example. Regardless of the data why would you let it go to a keylogger or botnet? That should be a transaction you can immediately block without stopping business. Instantly lowering Data risk, drastically increasing security posture, with out the risk of breaking a business process. Knowing the context of the data becomes key to implementing Data Security. *Look for a Data Security tool that integrates closely with a Web Security/ malware tool.
|